{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["13(1)"],"submitter":["Mathur L"],"pubmed_abstract":["Anti-cancer therapies often exhibit only short-term effects. Tumors typically develop drug resistance causing relapses that might be tackled with drug combinations. Identification of the right combination is challenging and would benefit from high-content, high-throughput combinatorial screens directly on patient biopsies. However, such screens require a large amount of material, normally not available from patients. To address these challenges, we present a scalable microfluidic workflow, called Combi-Seq, to screen hundreds of drug combinations in picoliter-size droplets using transcriptome changes as a readout for drug effects. We devise a deterministic combinatorial DNA barcoding approach to encode treatment conditions, enabling the gene expression-based readout of drug effects in a hi"],"journal":["Nature communications"],"pagination":["4450"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9343464"],"repository":["biostudies-literature"],"pubmed_title":["Combi-seq for multiplexed transcriptome-based profiling of drug combinations using deterministic barcoding in single-cell droplets."],"pmcid":["PMC9343464"],"pubmed_authors":["Landry JJM","Szalai B","Utharala R","Saez-Rodriguez J","Mathur L","Du NH","Ballinger M","Benes V","Merten CA","Ryckelynck M"],"additional_accession":[]},"is_claimable":false,"name":"Combi-seq for multiplexed transcriptome-based profiling of drug combinations using deterministic barcoding in single-cell droplets.","description":"Anti-cancer therapies often exhibit only short-term effects. Tumors typically develop drug resistance causing relapses that might be tackled with drug combinations. Identification of the right combination is challenging and would benefit from high-content, high-throughput combinatorial screens directly on patient biopsies. However, such screens require a large amount of material, normally not available from patients. To address these challenges, we present a scalable microfluidic workflow, called Combi-Seq, to screen hundreds of drug combinations in picoliter-size droplets using transcriptome changes as a readout for drug effects. We devise a deterministic combinatorial DNA barcoding approach to encode treatment conditions, enabling the gene expression-based readout of drug effects in a hi","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022 Aug","modification":"2025-04-22T01:49:45.167Z","creation":"2025-04-05T20:04:45.035Z"},"accession":"S-EPMC9343464","cross_references":{"pubmed":["35915108"],"doi":["10.1038/s41467-022-32197-0"]}}